Job Description

ENVIRONMENT:A specialist IT Service provider seeks the statistical & machine learning expertise of a Chief Analytics Officer (CAO) to be efficiently utilised to support initiatives that value-add to the customer while driving profitable business growth. Leading a group of Data Scientists, you will research, model, implement & validate algorithms (predictive and prescriptive) to analyse diverse sources of data to achieve targeted outcomes. You must possess a Degree in a quantitative field, 5+ years’ work experience in a Data Science related field, worked with data sets, proficient in Python/R, SQL, SAS, Power BI, Tableau, Raw, chart.js, AWS; Big Data Tools: Teradata, Aster, Hadoop; Testing Tools: Adobe Test & Target & able to manage multiple projects.

Responsibilities + Skills

Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.


Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.


Job Summary

  • Published on: Saturday, 25th July 2020
  • Designation: Chief Analytics Officer
  • industry: Miscellaneous
  • Vacancy: 1
  • Employment Status: Full-time
  • Job Location: Johannesburg
  • Salary: 0
  • Gender:
  • Application Deadline: Saturday, 25th July 2020

About the Company

  • Company Name: Datafin IT Recruitment.
  • Address:
  • Website: Datafin IT Recruitment
  • Company Profile:
  • ENVIRONMENT:The expertise of a highly ambitious & critical thinking Director of Software Quality is sought by a Software Solutions Service Provider to act as an advisory to clients, drive cloud-based test strategies while taking charge of Account Management & mentoring the Test Team. You must possess a Degree/NDip in Engineering/Computer Science/Information Systems, with 10+ years’ of experience including Test Automation, Branching Strategies, Performance Testing, Behaviour Driven Development and Testing, Appium, Building pipelines to support Automated Testing and Containerization & Cloud Tech.

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